Triple
T32697218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mags Bennett |
E836043
|
entity |
| Predicate | awardWonByPortrayal |
P36868
|
FINISHED |
| Object | Margo Martindale |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Margo Martindale | Statement: [Mags Bennett, awardWonByPortrayal, Margo Martindale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardWonByPortrayal Context triple: [Mags Bennett, awardWonByPortrayal, Margo Martindale]
-
A.
awardRecognitionForPortrayal
chosen
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
B.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
C.
leadActorAwarded
Indicates that the person in the lead actor role has received an award for their performance.
-
D.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
-
E.
emmyAwardFor
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3493323288190a4e88251035fe96e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:10 a.m.